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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52
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Cache and Prizes

Alex Russell

Browsers will cache tools popular among vocal, leading-edge developers. There's plenty of space for caching most popular frameworks. The best available proxy data also suggests that shared caches would have a minimal positive effect on performance. Browsers now understand the classic shared HTTP cache behaviour as a privacy bug.

Cache 82
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. offers the Software Watchdog specifically designed for this purpose.

Metrics 130
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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. It helps expose memory leaks, deadlocks, caching issues, and other system issues.

Traffic 339
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Impact of Querying Table Information From information_schema

Percona

having to open each table.frm (and in which my test runs, I have purposely read a very high number of tables compared to “Table-open-cache” variable). When running only sysbench, there is a high number of cache hits (~99.98%) and a low number of “misses,” which means the table_cache is big enough for the workload.

Cache 103
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PostgreSQL Checkpoints, Buffers, and WAL Usage with Percona Monitoring and Management

Percona

With this data, we’ll be able to better understand and tune our Postgres servers. The main idea is to be able to easily detect what the server is doing at any point in time so we can better understand how it reacts to the workload and tune accordingly. You can search the blog for more information on this if needed.

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How to Assess MySQL Performance

HammerDB

Among the different components of modern software solutions, the database is one of the most critical. Please refer to this tuning guide to tune the system for HammerDB: Open Source Database Tuning Guide on 3rd Generation Intel® Xeon® Scalable Processors Based Platform. Instead, use the default settings.